Release Time:2019-03-13  Hits:

Indexed by: Journal Article

Date of Publication: 2016-06-01

Journal: MEASUREMENT

Included Journals: EI、SCIE

Volume: 88

Page Number: 372-384

ISSN: 0263-2241

Key Words: Structural health monitoring; Vision-based system; Digital image processing; Multi-point pattern matching algorithm; Influence factor analysis

Abstract: In the past decade, the emerging machine vision-based measurement technology has gained great concerns among civil engineers due to its overwhelming merits of non-contact, long-distance, and high-resolution. A critical issue regarding to the measurement performance and accuracy of the vision-based system is how to identify and eliminate the systematic and unsystematic error sources. In this paper, a vision-based structural displacement measurement system integrated with a digital image processing approach is developed. The performance of the developed vision-based system is evaluated by comparing the results simultaneously obtained by the vision-based system and those measured by the magnetostrictive displacement sensor (MDS). A series of experiments are conducted on a shaking table to examine the influence factors which will affect the accuracy and stability of the vision-based system. It is demonstrated that illumination and vapor have a critical effect on the measurement results of the vision-based system. (C) 2016 Elsevier Ltd. All rights reserved.